Direct design of uniform LTI controllers from plant I/O data using a parallel evolutionary algorithm

Yun Li; Kay Chen Tan; Chritophe Marionneau

doi:10.1049/cp:19960633

Direct design of uniform LTI controllers from plant I/O data using a parallel evolutionary algorithm

Yun Li^*, Kay Chen Tan, Chritophe Marionneau

^*Corresponding author for this work

Faculty Of Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This paper attempts to revolutionise control system design by unifying all LTI approaches in both the time and the frequency domains under performance satisfactions. The design is automated by efficient evolution from plant step response data, by-passing the system identification stage. The underlying aim is for a control engineers to obtain an 'off-the-computer' controller by feeding the developed CACSD system with plant I/O data and customer specifications. Validations against linear and nonlinear plants are convincing, where a better performance of the controller evolved from I/O data of an internally nonlinear plant is observed than that designed from an identified model.

Original language	English
Pages (from-to)	680-686
Number of pages	7
Journal	IEE Conference Publication
Issue number	427 /1
DOIs	https://doi.org/10.1049/cp:19960633
Publication status	Published - 1 Dec 1996

Keywords

linear systems
step response
frequency-domain analysis
time-domain analysis
control system CAD
feedback
nonlinear systems
parallel algorithms

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abstract = "This paper attempts to revolutionise control system design by unifying all LTI approaches in both the time and the frequency domains under performance satisfactions. The design is automated by efficient evolution from plant step response data, by-passing the system identification stage. The underlying aim is for a control engineers to obtain an 'off-the-computer' controller by feeding the developed CACSD system with plant I/O data and customer specifications. Validations against linear and nonlinear plants are convincing, where a better performance of the controller evolved from I/O data of an internally nonlinear plant is observed than that designed from an identified model.",

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N2 - This paper attempts to revolutionise control system design by unifying all LTI approaches in both the time and the frequency domains under performance satisfactions. The design is automated by efficient evolution from plant step response data, by-passing the system identification stage. The underlying aim is for a control engineers to obtain an 'off-the-computer' controller by feeding the developed CACSD system with plant I/O data and customer specifications. Validations against linear and nonlinear plants are convincing, where a better performance of the controller evolved from I/O data of an internally nonlinear plant is observed than that designed from an identified model.

AB - This paper attempts to revolutionise control system design by unifying all LTI approaches in both the time and the frequency domains under performance satisfactions. The design is automated by efficient evolution from plant step response data, by-passing the system identification stage. The underlying aim is for a control engineers to obtain an 'off-the-computer' controller by feeding the developed CACSD system with plant I/O data and customer specifications. Validations against linear and nonlinear plants are convincing, where a better performance of the controller evolved from I/O data of an internally nonlinear plant is observed than that designed from an identified model.

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KW - step response

KW - frequency-domain analysis

KW - time-domain analysis

KW - control system CAD

KW - feedback

KW - nonlinear systems

KW - parallel algorithms

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IS - 427 /1

ER -

Direct design of uniform LTI controllers from plant I/O data using a parallel evolutionary algorithm

Abstract

Keywords

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